Paulo Justiniano Ribeiro Jr, LEG: Statistics and Geoinformation Lab, DEST: Department of Statistics, UFPR: Federal University of Paraná
This is a brief overview of some functionalities in geoR. We refer to the geoR “Tutorials” page http://www.leg.ufpr.br/geoR/tutorials for further examples.
## Required package.
require(geoR)
## Loading a data-set included in the package
data(s100)
We first do a quick data display with exploratory checks on spatial patterns, trends in the coordinates, and distribution of the data. We are using the default plot for a geodata object in geoR: plot.geodata. The lowess argument adds a smooth line to the upper right scatter plot (data value vs y value) and to the lower left scatter plot (x value vs data value). The upper left plot shows color coded data quartile at the location of the data
plot(s100, lowess = TRUE)
Another function allows for more options for displaying the data.
points(s100)